Instructions to use selmamalak/derma-beit-base-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use selmamalak/derma-beit-base-finetuned with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download train_results.json from selmamalak/derma-beit-base-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 208 Bytes
-
https://huggingface.co/selmamalak/derma-beit-base-finetuned/resolve/af30143be10fc9335acfba04d260f12bc4bbfe3b/train_results.json
- Command line
-
hf download hf://selmamalak/derma-beit-base-finetuned@af30143be10fc9335acfba04d260f12bc4bbfe3b/train_results.json
-
curl -L -o train_results.json https://huggingface.co/selmamalak/derma-beit-base-finetuned/resolve/af30143be10fc9335acfba04d260f12bc4bbfe3b/train_results.json
208 Bytes
| { | |
| "epoch": 9.95, | |
| "total_flos": 5.440571948014866e+18, | |
| "train_loss": 0.7656277652180523, | |
| "train_runtime": 925.5702, | |
| "train_samples_per_second": 75.705, | |
| "train_steps_per_second": 1.178 | |
| } |